Join the IT community of enthusiasts in Prague, embrace a start-up mindset, and become part of an international team with unlimited opportunities. You will work with infrastructure that runs on the MS Azure cloud and use Terraform as IaC and also use Azure Data Factory for pipelines and orchestration, as well as Databricks for processing and transforming data. As a Senior Data Platform Engineer, you will play a key role in constructing and automating the data platform, as well as developing functional data components.

What you will do

• You will refine, build, test, deploy and automate the core functional data components as part of the NNDAP product and offer that as a standard on a common code base serving all internal customers.

• Understand the needs of your various customers from different business units and translate them to modular solutions which are usable by the vast majority.

• You brainstorm and design solutions to optimize our data platform solution architecture along with other team members to reach to the best technical solution together.
• Share knowledge in our data engineering community, pair program and collaborate on code together with other data engineers within NN and lead/guide or participate the innersource community of NNDAP.
• Enable business teams to run successful data and AI projects and be a tech savvy or mentor other junior engineers.

Requirements

• University degree in statistics, computer science or any other related field
• You have 5+ years of relevant software, data and/or platform engineering experience, building platforms which are modular, testable, scalable and easily consumable.
• Have 3+ years hands-on experience on one or more cloud services (Azure) like: ADF, Data-lake, Delta-lake, Databricks, Key Vaults, BigQuery, Datapipeline, etc.
• Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, branching, containerization, etc.
• Demonstrated programming and debugging experience with Python/Poetry/PySpark, SQL, Go.
• Preferably experience with open-source/inner-source projects run with a “build once, deploy often” mindset & Experience or interest in Domain Driven Design.

Benefits

• Plenty of training and education opportunities in our Learning & Development Centre
• A large (international) data engineering network of colleagues who are happy to share their knowledge with you (Data engineering Guild). 
• The autonomy to determine your own development path
• Flexible work from home policy
• 5 weeks of vacation, and 5 annual sick days
• 3% employer supplemental pension monthly contribution
• Unlimited budget for your education (hard and soft skills, Language courses)
• Meal contribution, Cafeteria program, monthly home office allowance
• Multisport card, partnership with various companies (Makro, Datart, Sony, Electrolux…)
• iPhone, personal Office 365 License, O2 Family discounts
• Volunteering days to support our community
• Employee referral bonuses to encourage the addition of great new people to the team